| 摘要: |
| 目的 通过ECM模型剖析智能健身镜用户持续使用意愿的要素，探究用户感知有用性、期望确认度与用户满意度之间的关系。方法 借助ECM模型解构其关键要素，深层分析各要素的影响因子，结合SPSS和Amos数据分析工具进行实证研究，检验各要素中的变量回归关系。结果 感知有用性与用户满意度以及持续使用意愿之间存在明显的正向关联，期望确认度对用户满意度和感知有用性产生显著影响，而用户满意度虽对持续使用意愿具有一定的影响，但统计学上并未达到显著水平。结论 智能健身镜用户行为具有一定的复杂性，感知有用性和期望确认度在用户持续使用意愿的形成过程中起关键作用。通过验证ECM模型的适用性，明确此类产品的优化关键在于优化产品性能和提供个性化附加价值，进而提高用户的使用体验。 |
| 关键词: ECM模型 智能健身镜 用户持续使用意愿 影响要素 |
| DOI：10.19554/j.cnki.1001-3563.2024.20.022 |
| 分类号: |
| 基金项目:安徽省高等学校省级质量工程项目(2021xskc077) |
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| Factors Influencing User's Intention to Continue Using Smart Fitness Mirrors Based on ECM Model |
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WEI Yanli, CAO Yuan, HU Weiting
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(School of Architecture and Art, Hefei University of Technology, Hefei 230000, China)
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| Abstract: |
| The work aims to employ the ECM model to dissect the elements influencing users' intention to continue using smart fitness mirrors, and explore the connection among users' perceptions of usefulness, confirmation of expectations, and satisfaction. The ECM model was used to deconstruct its key elements, and deeply analyze the influencing factors of each element in combination with SPSS and Amos data analysis tools for empirical research to examine the variable regression relationships among the elements. Perceived usefulness was significantly positively correlated with user satisfaction and the intention to continue use. Confirmation of expectations notably impacted both user satisfaction and perceived usefulness. However, while user satisfaction had a certain impact on the intention to continue use, it did not reach statistical significance. User behavior with smart fitness mirrors exhibits a certain complexity, where perceived usefulness and expectation confirmation play pivotal roles in shaping users' intention to continue using. By confirming the applicability of the ECM model, it is evident that optimizing the key to such products lies in enhancing product performance and providing personalized added value to enhance the user experience. |
| Key words: ECM model smart fitness mirrors user's intention to continue using influencing factors |
